ArticleAdvances in data analysis and classification2018
Ensemble of a subset of
Article in Advances in data analysis and classification, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Early fusion of laser and acoustic features for human orientation detection in non-line-of-sight environments.Scientific reports · 2026Article
- Random k conditional nearest neighbor for high-dimensional data.PeerJ. Computer science · 2025Article
- Decoding basic emotional states through integration of an fNIRS-based brain-computer interface with supervised learning algorithms.PloS one · 2025Article
- Analysis of cognitive dysfunction in Parkinson's disease using voxel based morphometry and radiomics.Cognitive processing · 2024Article
- Functional brain network features specify DBS outcome for patients with treatment resistant depression.Molecular psychiatry · 2023Article
- Application of machine learning in predicting aggressive behaviors from hospitalized patients with schizophrenia.Frontiers in psychiatry · 2023Article
- Visible Particle Identification Using Raman Spectroscopy and Machine Learning.AAPS PharmSciTech · 2022Article
- Fault Handling in Industry 4.0: Definition, Process and Applications.Sensors (Basel, Switzerland) · 2022Review
- Sleep Apnea Classification Algorithm Development Using a Machine-Learning Framework and Bag-of-Features Derived from Electrocardiogram Spectrograms.Journal of clinical medicine · 2021Article
- Morphological analysis of subcortical structures for assessment of cognitive dysfunction in Parkinson's disease using multi-atlas based segmentation.Cognitive neurodynamics · 2021Article
- Prediction of Multidrug-Resistant Tuberculosis Using Machine Learning Algorithms in SWAT, Pakistan.Journal of healthcare engineering · 2021Article
- Robust proportional overlapping analysis for feature selection in binary classification within functional genomic experiments.PeerJ. Computer science · 2021Article
- Predicting direct and indirect non-target impacts of biocontrol agents using machine-learning approaches.PloS one · 2021Article
- Classification of Fatigue Phases in Healthy and Diabetic Adults Using Wearable Sensor.Sensors (Basel, Switzerland) · 2020Article
- The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery.Entropy (Basel, Switzerland) · 2019Article
- Evolutionary Wavelet Neural Network ensembles for breast cancer and Parkinson's disease prediction.PloS one · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Combining multiple classifiers, known as ensemble methods, can give substantial improvement in prediction performance of learning algorithms especially in the presence of non-informative features in the data sets. We propose an ensemble of subset of
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.